12-02, 21:30–22:30 (UTC), Talk Track II
Lightning Talks are short 5-10 minute sessions presented by community members on a variety of interesting topics.
Order of Presentations
1. Computational Report Generator by Archit Khosla
2. Toolkit for Transcribing Audio in Low Confidence Settings by Josh Seltzer
3. Makefiles for Automated Replacement of Modified Plots in Reports and Presentations by Cameron Devine PhD
4. Sailing through AIS data using movingpandas by Ray Bell
5. Bobby: An Open Source Template for Strong Linting on Python Projects by Aidan Russell
No previous knowledge expected
Aidan Russell has been the Head of Data Science at Infogrid for a little over 2 years. During that time the company as a whole has grown from 12 to 310 and the Data Science team from 1 to 15 (and continuing to grow). He holds a PhD in physics and has worked in data science since 2015 across a range of companies from early stage startups to 100 year old corporates (and picked up some strong opinions on the best way to run things along the way).
Ray Bell is currently a Principal Data Scientist and Data Science Manager at DTN. Ray's role involves implementing advanced data analysis for business strategy for Weather, Energy and Agriculture.
Ray has experience in implementing novel solutions to big problems in sectors such as Hospitality, Defense as well as Oil and Gas. Ray has developed data mining techniques on High Performance Computers and machine learning algorithms to optimize forecasts.
Ray is a Project Management Professional, holds a Ph.D. in climate science from the University of Reading, England and is a software carpentry instructor. Ray became a level 5 chartered manager with the Chartered Management Institute in 2015 and was a charted member of the Institute of Marine Engineering, Science & Technology while working at BP.
Full-stack / ML developer by day, primatologist by night. I am interested in the intersection of technology and cognition, and how it will transform our minds, languages, and world(s).
Cameron Devine is a Visiting Professor of Mechanical Engineering at Saint Martin’s University. He received his PhD from the University of Washington. His research interests include control systems, robotics, and manufacturing. Currently, he lives in Olympia, WA, with his wife Tamara and their three cats.
Archit Khosla is a founding engineer and currently a Director of Machine Learning at PathAI, a start-up that aims to transform the domain of pathology using machine learning and deep learning techniques. Archit has a master's degree in machine learning for the Georgia institute of technology.
His 5 years of work at PathAI involves using Machine Learning to drive faster, more accurate detection and diagnosis of diseases such as Cancer, Inflammatory Bowel Disease (IBD), and Non Alcoholic Steatohepatitis (NASH). Archit is passionate about improving machine learning techniques and transforming healthcare by using software engineering practices and algorithm optimization.